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LawEngine

CiteBench by LawEngine

500 examples.
Inspect the test.

LawEngine built CiteBench—and the deterministic verification system that gets all 500 right. That is not a loophole. It is the point: legal citations should be checked against the source, not guessed.

LawEngine: 500/500. GPT-5.4-mini: 361/500 (72.2%). Same public pack. Same four-label task.

LawEngine deterministic verification
500/500100%
GPT-5.4-mini
361/50072.2%

Why this exists

This is not your grandma’s Microsoft Excel VLOOKUP.

A lookup is easy when the key and source are already clean. Legal authority is not. A one-word amendment, a bracketed exception, a line-broken PDF, an ellipsis, or a real quotation attached to the neighboring rule can change the answer. CiteBench tests whether a system can tell the difference.

No pleading, motion Nothing here or other document shall be filed
No pleading, motion except for motion to intervene or other document shall be filed

Source-grounded examples

Five ways simple matching fails

How to run it

Download, run locally, upload.

  1. Download

    Get the public pack and submission template.

  2. Run locally

    Use the public repository with your own system.

  3. Upload

    Send predictions for aggregate scoring.

The four-label contract

Classify the citation and quote, then score the prediction file.

Upload and score

Score a CiteBench prediction file

Download the 500-row public pack, run your system locally, and upload a CSV containing id, predicted_status. LawEngine returns aggregate accuracy, F1 scores, label counts, and a confusion matrix while the grading key remains server-side.

Methodology: CiteBench scores the public pack’s four permitted outcomes against a server-side grading key and reports aggregate results only.

Questions about the comparison?

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